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Intraday Gap / "New High"

Something I have been playing with today as I attempt to learn both Python and Quantopian simultaneously. Coming from PHP, Python is more different than originally anticipated.

The goal of this strategy is as follows:

1) Wait till 10AM before activating algo logic
2) Check the day's high as of 10AM and record it
3) Keep checking the high while simultaneously looking for a dip, and;
4) Once the DIP occurs record that activity and wait for a new high to be reached AFTER the dip, then buy

Feedback and suggestions are most welcome.

Thanks.

3 responses

Greg, welcome to Quantopian and to coding your first python algos!

It's great to see your algorithm using the new schedule_function. I'd be curious to see how to the backtest performs over a longer period of time. Keep us posted of your progress!

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.

Converted the code to take a basket of stocks versus just one security. Ran it for YTD calendar 2014.

Thinking of a method to use relative parameters vs absolute (1% etc..)

Great job on the code! It's looking really good and you're already using the schedule_function() method perfectly

Have you thought about setting your order weights to something like len(context.stocks) so you have a relative weight setup instead of .5?

Disclaimer

The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian. In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.